Results 31 to 40 of about 13,996 (160)
Non-Cooperative Low-Complexity Detection Approach for FHSS-GFSK Drone Control Signals
IEEE Open Journal of the Communications Society, 2020 The commercial drone market has substantially grown over the past few years. While providing numerous advantages in various fields and applications, drones also provide ample opportunities for misuse by irresponsible hobbyists or malevolent actors.
Dan Mototolea +3 more
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Audio Watermarking Combined with Compressive Sampling Based on QIM and DST-QR Techniques
Jurnal Elektronika dan Telekomunikasi, 2019 Abuse is not only done to copy or distribute data but also to the digital copyright labels. There is a way to protect data by inserting or hiding a piece of certain information, namely a watermarking technique.
Irma Safitri +2 more
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Compressed
Magnetic Resonance in Chemistry, 2018 Historically, the resolution of multidimensional nuclear magnetic resonance (NMR) has been orders of magnitude lower than the intrinsic resolution that NMR spectrometers are capable of producing. The slowness of Nyquist sampling as well as the existence of signals as multiplets instead of singlets have been two of the main reasons for this ...
Juan A. Aguilar, Alan M. Kenwright
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Computer-Vision-Oriented Adaptive Sampling in Compressive Sensing
SensorsCompressive sensing (CS) is recognized for its adeptness at compressing signals, making it a pivotal technology in the context of sensor data acquisition.
Luyang Liu +4 more
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IEEE Access, 2018 Failures of rolling element bearings are amongst the main causes of machines breakdowns. To prevent such breakdowns, bearing health monitoring is performed by collecting data from rotating machines, extracting features from the collected data, and ...
Hosameldin Ahmed, Asoke K. Nandi
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Basis Pursuit With Sparsity Averaging for Compressive Sampling of Iris Images
IEEE Access, 2022 This paper proposes novel compressive sampling (CS) of colored iris images using three RGB iterations of basis pursuit (BP) with sparsity averaging (SA), called RGB-BPSA.
Tariq Rahim +6 more
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Remote SensingSpaceborne LiDAR systems are crucial for Earth observation but face hardware constraints, thus limiting resolution and data processing. We propose integrating compressed sensing and diffusion generative models to reconstruct high-resolution satellite ...
Andres Ramirez-Jaime +9 more
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Quadrature Compressive Sampling for Multiband Radar Echo Signals
IEEE Access, 2017 In multiband/multifunction radars, the received echoes are usually multiband signals consisting of several subbands with different carrier frequencies. Digital acquisition of the in-phase and quadrature (I and Q) components of each subband is important ...
Shengyao Chen, Feng Xi
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Energy Preserved Sampling for Compressed Sensing MRI [PDF]
Computational and Mathematical Methods in Medicine, 2014 The sampling patterns, cost functions, and reconstruction algorithms play important roles in optimizing compressed sensing magnetic resonance imaging (CS-MRI). Simple random sampling patterns did not take into account the energy distribution ink-space and resulted in suboptimal reconstruction of MR images.
Zhang, Yudong +3 more
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Sub-Nyquist SAR via Quadrature Compressive Sampling with Independent Measurements
Remote Sensing, 2019 This paper presents an efficient sampling system for the acquisition of synthetic aperture radar (SAR) data at sub-Nyquist rate. The system adopts a quadrature compressive sampling architecture, which uses modulation, filtering, sampling and digital ...
Huizhang Yang +3 more
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